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Data Structures and Algorithms in Python

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The course covering topics such as binary search, linked lists, and complexity analysis. It is designed for beginners with some basic programming knowledge. The course uses Jupyter notebooks for interactive programming, with code execution facilitated through free online resources provided by Jo...

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  • February 28, 2024
  • 3
  • 2023/2024
  • Class notes
  • Akash ns
  • All classes
  • Secondary school
  • 4
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Data Structures and Algorithms in Python - Full Course
for Beginners


Introduction to Data Structures and Algorithms in
Python
This is a beginner-friendly course on common data structures and
algorithms in Python, taught by Akash NS, the co-founder and CEO of
Jovian. The course is designed to help improve programming skills,
solve coding challenges, and ace technical interviews. By completing the
course, you can earn a verified certificate of accomplishment. The
course runs for 6 weeks with 2-hour video lectures every week,
including live interactive coding using Python. You will also get a
chance to practice your coding skills with weekly programming
assignments consisting of real interview questions. The course is
created by Jovian, a platform for learning data science and machine
learning with a global community of tens of thousands of learners from
over 150 countries.

Course Details

 The course is beginner-friendly but requires some basic knowledge of
programming.
 You will have access to the course community forum where you can
ask questions, participate in discussions, and share your progress.
 The course covers common data structures and algorithms in Python
and how to use them to ace coding interviews and technical
assessments.
 You can earn a verified certificate of accomplishment by completing
the course.
Lesson 1: Binary Search, Linked Lists, and Complexity Analysis
The first lesson covers binary search, linked lists, and complexity
analysis. The lesson includes a recording and all the code used is linked
below. The course assumes very little background in programming and

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